• DocumentCode
    3175284
  • Title

    Relationship between 12-lead ECG QT dispersion and 3D-ECG repolarization loop

  • Author

    Badilini, F. ; Blanche, P. Maison ; Fayn, J. ; Forlini, MC ; Rubel, P. ; Coumel, P.

  • Author_Institution
    Hopital Lariboisiere, Paris, France
  • fYear
    1995
  • fDate
    10-13 Sept. 1995
  • Firstpage
    785
  • Lastpage
    788
  • Abstract
    Detection of QT dispersion on a 12 lead surface electrocardiogram has been proved to be a strong prognostic index of malignant events and it is thought to be closely related to an heterogeneity in the repolarization wavefront This work aims to correlate QT dispersion with the morphology of the spatial T wave loop. Indexes of planarity and geometry are derived from the 3D-ECG repolarization loop with a validated algorithm (CAVIAR). Multiple regression analysis indicates that QT dispersion measured on 12 standard lead is significantly correlated with a loss of planarity and with a wider shape of the loop. QT dispersion is then closely related to a spatial distortion of the cardiac vector during the repolarization phase and can be indirectly evaluated on the 3D electrocardiogram.
  • Keywords
    electrocardiography; mathematical morphology; medical signal processing; statistical analysis; 12-lead ECG QT dispersion; 3D electrocardiogram; 3D-ECG repolarization loop; CAVIAR; cardiac vector; geometry index; multiple regression analysis; planarity index; repolarization phase; repolarization wavefront heterogeneity; spatial T wave loop morphology; spatial distortion; strong prognostic index; surface electrocardiogram; validated algorithm; Cancer; Dispersion; Distortion measurement; Electrocardiography; Event detection; Geometry; Regression analysis; Shape measurement; Surface morphology; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1995
  • Conference_Location
    Vienna, Austria
  • Print_ISBN
    0-7803-3053-6
  • Type

    conf

  • DOI
    10.1109/CIC.1995.482782
  • Filename
    482782